Carlos Arizmendi
Orcid: 0000-0003-1903-115X
According to our database1,
Carlos Arizmendi
authored at least 12 papers
between 2006 and 2022.
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Bibliography
2022
Design of a Classifier to Determine the Optimal Moment of Weaning of Patients undergoing to the T-tube Test.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2020
Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy.
Proceedings of the Intelligent Systems and Applications, 2020
2018
Design and Experimental Validation of Adaptive Fuzzy PID Controller for a Three Degrees of Freedom Helicopter.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Nonlinear dynamic analysis of the cardiorespiratory system in patients undergoing the weaning process.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2014
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks.
Expert Syst. Appl., 2014
Analysis of Respiratory Flow Signals to Identify Success of Patients on Weaning Trials.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform.
Proceedings of the Integrating Information Technology and Management for Quality of Care [ICIMTH 2014, 2014
2012
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks.
Expert Syst. Appl., 2012
2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
Proceedings of the Artificial Intelligence Research and Development, 2009
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006